Computational Intelligence Systems and Applications : Neuro-Fuzzy and Fuzzy Neural Synergisms /

This book presents new concepts and implementations of Computational Intelligence (CI) systems (based on neuro-fuzzy and fuzzy neural synergisms) and a broad comparative analysis with the best-known existing neuro-fuzzy systems as well as with systems representing other knowledge-discovery technique...

Full description

Bibliographic Details
Main Author: GorzaƂczany, Marian B.
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Heidelberg : Physica-Verlag HD : Imprint : Physica, 2002.
Series:Studies in fuzziness and soft computing ; 86.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:This book presents new concepts and implementations of Computational Intelligence (CI) systems (based on neuro-fuzzy and fuzzy neural synergisms) and a broad comparative analysis with the best-known existing neuro-fuzzy systems as well as with systems representing other knowledge-discovery techniques such as rough sets, decision trees, regression trees, probabilistic rule induction etc. This presentation is preceded by a discussion of the main directions of synthesizing fuzzy sets, artificial neural networks and genetic algorithms in the framework of designing CI systems. In order to keep the book self-contained, introductions to the basic concepts of fuzzy systems, artificial neural networks and genetic algorithms are given. This book is intended for researchers and practitioners in AI/CI fields and for students of computer science or neighbouring areas.
Item Description:Electronic resource.
Physical Description:1 online resource (x, 364 pages 147 figs., 21 tables)
Bibliography:Includes bibliographical references (pages 337-357) and index.
ISBN:9783790818017 (electronic bk.)
3790818011 (electronic bk.)
ISSN:1434-9922 ;